Ducktober is here - 8 launches in 8 daysSee what's live
Learn what MCP (Model Context Protocol) is, how its three building blocks work, and how to set up remote and local MCP servers. Includes a real demo chaining MotherDuck and Notion MCP servers in a single prompt.
9:09
45:32
Jun 17, 2026 • Doo Shim, Garrett O'Brien
See how MotherDuck Flights lets you build and schedule Python data pipelines with an AI agent — from a single prompt to a running ingest pipeline and live dashboard.
Webinar
Data Pipelines
AI, ML and LLMs
MotherDuck Features
Python
Nov 20, 2025 • Jacob Matson
Learn how to turbocharge your Python data work using DuckDB and MotherDuck with Pandas. We walk through performance comparisons, exploratory data analysis on bigger datasets, and an end-to-end ML feature engineering pipeline.
Webinar
Python
AI, ML and LLMs
Nov 19, 2025 • Ryan Boyd
LLMs excel at natural language understanding but struggle with factual accuracy when aggregating business data. Ryan Boyd explores the architectural patterns needed to make LLMs work effectively alongside analytics databases.
AI, ML and LLMs
MotherDuck Features
SQL
Talk
Python
BI & Visualization
Sep 24, 2025 • Jordan Tigani
DuckDB is loved by SQL-ophiles for small data workloads. How do you make it scale? What happens when you feed it Big Data? What is DuckLake? This talk answers these questions from real-world experience running DuckDB in the cloud.
MotherDuck Features
SQL
Talk
BI & Visualization
Python
Jun 2, 2025 • Alex Monahan
Tame "file zoos" with DuckDB! This talk reveals how DuckDB seamlessly integrates with Python to read/write diverse files (CSV, Parquet), organize data efficiently, enable larger-than-memory analysis, and streamline your workflows.
Python
Talk
33:49
Nov 8, 2024 • Jacob Matson, Guen Prawiroatmodjo
What if I told you that you could complete a JSON parse and extract task on your laptop before a distributed compute cluster even finishes booting up?
YouTube
BI & Visualization
AI, ML and LLMs
SQL
Python
Talk
0:41:48
Feb 2, 2024 • Mehdi Ouazza
Mehdi tackles an end-to-end data engineering project : getting usage insights from a python library using Python, SQL and DuckDB! This is the first part of the series.
YouTube
Python
Tutorial
0:10:23
Nov 16, 2023 • Mehdi Ouazza
Mehdi demonstrates an experimental feature of DuckDB : running PySpark code with DuckDB engine ⚡ Note : This is not yet supported on MotherDuck
YouTube
Python
0:12:05
Jun 1, 2023 • Mehdi Ouazza
Compare DuckDB, Pandas, and Polars side by side with benchmarks and code examples. Learn which Python data library is fastest for your analytics workload.
YouTube
Python
Tutorial